Street Fashion Style (Sfs) Dataset

The Street Fashion Style (SFS) dataset is a new street photos dataset collected from Chictopia, where a total of 293,105 user posts are crawled. In each post, a user usually publishes the photograph of her/his worn outfit along with associated tags. Generally, these tags include current season, the suitable occasion, fashion style, the detailed garment information (e.g. category, color and brand), the geographical and year information. The dataset can be applied, but not limited to the following research areas: multi-task learning feature embedding learning fashion-related classification fashion trends analysis Please cite the following paper if you use the SFS dataset in your work (papers, articles, reports, books, software, etc): X. Gu, Y. Wong, P. Peng, L. Shou, G. Chen, M. Kankanhalli<br> <strong>Understanding Fashion Trends from Street Photos via Neighbor-Constrained Embedding Learning</strong><br> <em>ACM Multimedia</em>, 2017.<br> http://doi.org/10.1145/3123266.3123441 After downloading all parts (images-*), extract using: cat images-* | tar zx Alternate download mirror - https://pan.baidu.com/s/1nvA1IPz